Video-based eye image acquisition in the visible spectrum for iris recognition has taken great importance in the current context of the extensive use of online video surveillance cameras and mobile devices, due to the increasing number of applications in the cloud that use these biometrics for carrying out secure banking transactions, access controls and forensic applications among others. In this work, an approach for video iris recognition is presented. It is based on a scheme of evaluation of quality of the eye image simultaneously with the process of video capturing. A measure of image quality that takes into account the elements defined in the ISO / IEC 19794-6 2005 standard and its combination with automatic detection methods is proposed. The experiments developed on two international databases and own video database demonstrate the relevance of the proposal.